Department of Agricultural Sciences, University of Naples, Federico II, via Università 100, 80055, Naples, Portici (NA), Italy.
Centro di Riferimento Regionale per la Sicurezza Sanitaria del Pescato CRiSSaP, Naples, Campania Region, Italy.
BMC Vet Res. 2020 Feb 21;16(1):65. doi: 10.1186/s12917-020-02286-7.
The presence of Anisakis larvae in fish represents a major public health concern. Effective risk management procedures should be applied to prevent heavily infected products from reaching the market. The aim of the study is to provide preliminary data on parasite exposure and risk classification in frozen fish products by applying a risk categorization scheme (site, abundance, density and epidemiology - SADE) and Fish Parasite Rating (FPR) method. Fish and cephalopods samples (N = 771) from 5 different FAO Atlantic areas were examined and categorized after an accurate visual inspection and a chloro-peptic digestion.
In 25 out of 33 fish species parasite larvae were found. 10897 anisakids larvae were collected and identified to genus level. Molva dypterygia, Conger conger, Zeus faber and Aphanopus carbo were shown to be the most highly infected species. SADE and FPR scores were 1 and poor, respectively, for the referred species, because of the disseminated Anisakis infection and commercial rejection.
SADE/FPR method showed high specificity and accuracy. The information provided in this work could be used in early warning systems for the detection of parasites in fishery products and might help fishing industries in establishing management strategies for infected stocks in terms of cost saving decisions.
鱼类中存在颚口线虫幼虫是一个主要的公共卫生关注点。应该采取有效的风险管理程序来防止受严重感染的产品进入市场。本研究的目的是通过应用风险分类方案(地点、丰度、密度和流行病学 - SADE)和鱼类寄生虫评分(FPR)方法,提供冷冻鱼类产品中寄生虫暴露和风险分类的初步数据。从 5 个不同的粮农组织大西洋地区检查了 771 个鱼类和头足类样本,并在经过准确的目视检查和氯消化后进行了分类。
在 33 种鱼类中有 25 种发现了寄生虫幼虫。收集并鉴定了 10897 条颚口线虫幼虫。显示出 Molva dypterygia、Conger conger、Zeus faber 和 Aphanopus carbo 是受感染最严重的物种。由于寄生虫的广泛感染和商业拒收,这些物种的 SADE 和 FPR 评分分别为 1 和差。
SADE/FPR 方法具有很高的特异性和准确性。本工作提供的信息可用于渔业产品中寄生虫检测的早期预警系统,并有助于渔业行业根据节省成本的决策制定针对受感染库存的管理策略。